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At a Glance
Market Segments
Mid-Market (62.0% of reviews)
Mid-Market (44.0% of reviews)
Entry-Level Pricing
Starting at $6,000.00 2 Connected Applications Per Year
No pricing available
DataBlend
Star Rating
(71)4.7 out of 5
Market Segments
Mid-Market (62.0% of reviews)
Pros & Cons
Entry-Level Pricing
Starting at $6,000.00 2 Connected Applications Per Year
Browse all 3 pricing plansWorkato
Star Rating
(710)4.7 out of 5
Market Segments
Mid-Market (44.0% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Free Trial is available
Learn more about WorkatoSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Workato excels in Workflow Management with a score of 9.7, highlighting its intuitive design and ease of use, while DataBlend, with a score of 9.3, is noted for its robust capabilities but may require a steeper learning curve.
- Reviewers mention that Workato's Real-Time Integration feature, rated at 9.1, allows for seamless data synchronization, whereas DataBlend's slightly higher score of 9.3 indicates a more refined experience, particularly in handling complex integrations.
- G2 users emphasize that Workato's Data Mapping functionality, rated at 9.7, is highly praised for its user-friendly interface, while DataBlend's score of 9.2 suggests it offers solid capabilities but lacks some of the advanced features that users find in Workato.
- Reviewers say that DataBlend shines in Data Transformation with a score of 9.4, providing powerful tools for data manipulation, while Workato, with a score of 8.6, is seen as effective but not as comprehensive in this area.
- Users on G2 report that Workato's Automation features, rated at 9.1, are particularly beneficial for streamlining repetitive tasks, while DataBlend's higher score of 9.7 indicates a more extensive suite of automation tools that can cater to complex workflows.
- Reviewers mention that DataBlend's API Management capabilities, scoring 9.2, are robust and well-integrated, while Workato's score of 8.7 suggests it provides essential API functionalities but may not be as feature-rich as DataBlend in this regard.
Pricing
Entry-Level Pricing
DataBlend
DataBlend Starter
Starting at $6,000.00
2 Connected Applications Per Year
The Starter package provides one point to point application connection.
- 2 connected applications
- Up to 3 standard workflows
- 2 admin users
Workato
No pricing availableFree Trial
DataBlend
No trial information availableWorkato
Free Trial is available
Ratings
Meets Requirements
9.5
55
9.1
574
Ease of Use
8.8
55
9.0
583
Ease of Setup
8.7
46
8.9
457
Ease of Admin
8.6
31
9.0
365
Quality of Support
9.7
54
9.2
565
Has the product been a good partner in doing business?
9.8
31
9.4
362
Product Direction (% positive)
9.3
53
9.5
558
Features by Category
Messenger
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Channels
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Customers
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Conversational Marketing
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Management
8.5
34
7.9
116
8.2
33
8.3
123
Functionality
9.0
32
8.9
130
9.3
32
8.7
133
9.5
33
9.0
131
9.7
34
9.1
140
9.3
33
9.0
131
Management
Not enough data
8.1
25
Not enough data
8.8
25
Not enough data
9.0
25
Not enough data
8.8
26
Solution Provision
Not enough data
8.3
25
Not enough data
7.6
25
Not enough data
8.4
24
Development
Not enough data
9.4
34
Not enough data
9.5
32
Not enough data
9.7
33
Not enough data
9.4
33
Collaboration
Not enough data
9.1
32
Not enough data
9.2
32
Not enough data
9.4
32
Functionality
Not enough data
9.1
19
Not enough data
9.3
19
Management
Not enough data
9.4
18
Not enough data
9.2
19
Not enough data
9.4
18
Integrations
Not enough data
9.2
19
Not enough data
8.6
18
Security
Not enough data
9.2
18
Not enough data
9.0
18
Support
Not enough data
9.0
19
Development
8.9
32
9.1
267
8.9
30
8.4
175
|
Verified
8.9
30
9.0
195
|
Verified
8.8
30
8.8
207
|
Verified
9.1
30
8.5
194
|
Verified
9.0
29
9.0
187
8.4
26
8.6
163
Management
9.0
31
8.7
191
|
Verified
8.8
28
8.7
179
|
Verified
9.2
32
8.9
191
|
Verified
9.2
31
8.8
189
|
Verified
8.9
30
8.8
163
Security
8.8
29
8.8
169
|
Verified
8.8
31
8.9
176
|
Verified
8.9
30
9.0
172
|
Verified
Integration Options
8.9
29
8.7
164
|
Verified
8.9
28
8.6
164
|
Verified
8.8
24
8.1
158
|
Verified
8.8
24
7.9
143
|
Verified
Deployment
9.2
26
8.7
159
9.1
25
9.0
169
Management
Not enough data
9.2
13
Not enough data
9.4
14
Not enough data
9.2
13
Not enough data
9.2
13
Functionality
Not enough data
9.2
13
Not enough data
9.0
13
Not enough data
9.2
13
Not enough data
9.5
14
Security
Not enough data
9.3
14
Not enough data
9.4
13
Conversational Platform
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Support Automation
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Data
Not enough data
9.2
108
Development
Not enough data
9.1
113
Not enough data
8.9
110
Security
Not enough data
9.1
109
Not enough data
8.9
106
Management
Not enough data
9.0
105
Not enough data
8.6
96
Not enough data
9.3
104
Not enough data
9.1
91
Not enough data
8.8
94
Not enough data
8.9
94
Application Integration
Not enough data
9.1
90
Not enough data
9.2
93
Not enough data
9.5
93
Not enough data
9.3
92
Data Management
Not enough data
9.3
12
Not enough data
8.8
12
Not enough data
9.2
12
Not enough data
9.3
12
Not enough data
8.2
11
Functionality
Not enough data
9.1
11
Not enough data
9.9
13
Not enough data
9.7
13
Not enough data
9.6
12
Not enough data
9.3
12
Not enough data
9.2
11
Not enough data
8.8
11
Security
Not enough data
9.1
11
Not enough data
9.2
11
Generative AI
Not enough data
8.2
11
Functionality
Not enough data
8.8
14
Not enough data
9.3
14
Not enough data
9.2
14
Governance
Not enough data
9.0
14
Not enough data
9.2
14
Not enough data
9.2
14
Scalability and Performance - Generative AI Infrastructure
Not enough data
10.0
6
Not enough data
9.7
6
Not enough data
10.0
6
Cost and Efficiency - Generative AI Infrastructure
Not enough data
9.4
6
Not enough data
10.0
6
Not enough data
10.0
6
Integration and Extensibility - Generative AI Infrastructure
Not enough data
10.0
6
Not enough data
8.9
6
Not enough data
9.7
6
Security and Compliance - Generative AI Infrastructure
Not enough data
8.9
6
Not enough data
9.2
6
Not enough data
10.0
6
Usability and Support - Generative AI Infrastructure
Not enough data
10.0
6
Not enough data
10.0
6
Functionality - Process Orchestration
Not enough data
8.4
55
Not enough data
9.0
56
Not enough data
9.3
63
Not enough data
9.4
58
Not enough data
9.0
52
Integration & Adaptability - Process Orchestration
Not enough data
9.3
54
Not enough data
9.2
54
Not enough data
8.9
57
Not enough data
8.8
56
Not enough data
8.8
53
Not enough data
8.7
53
Not enough data
8.9
53
Not enough data
8.9
53
Customization - AI Agent Builders
Not enough data
9.0
14
Not enough data
9.0
14
Not enough data
9.3
12
Functionality - AI Agent Builders
Not enough data
9.1
13
Not enough data
9.0
13
Not enough data
9.1
13
Not enough data
8.7
13
Data and Analytics - AI Agent Builders
Not enough data
9.4
11
Not enough data
9.5
11
Not enough data
9.1
11
Integration - AI Agent Builders
Not enough data
9.1
13
Not enough data
9.4
11
Not enough data
9.4
12
Not enough data
9.4
13
Workflow Design & Integration - AI Orchestration
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Performance Optimization & Analytics - AI Orchestration
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Governance & Compliance Controls - AI Orchestration
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Productivity Bots
Not enough data
9.4
8
Not enough data
9.3
7
Not enough data
8.6
7
Not enough data
9.0
7
Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Reporting
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Security
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
API Construction
Not enough data
8.8
181
Not enough data
8.9
178
Not enough data
8.9
175
Not enough data
9.0
186
API Management
Not enough data
8.7
165
Not enough data
8.5
182
Not enough data
8.7
182
Not enough data
Feature Not Available
Not enough data
8.5
164
Data Integration
Not enough data
9.2
193
Not enough data
8.7
185
Not enough data
8.5
167
Categories
Categories
Unique Categories
DataBlend has no unique categories
Workato is categorized as Master Data Management (MDM), API Development, Embedded Integration Platforms, Reverse ETL, Data Replication, API Management, AI Agent Builders, API Generation, Electronic Data Interchange (EDI), Big Data Integration Platforms, Process Orchestration, Conversational Marketing, Conversational Support, Generative AI Infrastructure, Productivity Bots, and AI Orchestration
Reviews
Reviewers' Company Size
DataBlend
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Workato
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Small-Business
(50 or fewer emp.)
Mid-Market
(51-1000 emp.)
Enterprise
(> 1000 emp.)
Reviewers' Industry
Non-Profit Organization Management
21.1%
Accounting
18.3%
Computer Software
7.0%
Information Technology and Services
4.2%
Hospital & Health Care
4.2%
Other
45.1%
Computer Software
22.9%
Information Technology and Services
19.5%
Financial Services
5.6%
Retail
3.5%
Construction
3.1%
Other
45.3%
Alternatives
Discussions
DataBlend has no discussions with answers
What is a Workato recipe?
3 Comments
GM
The recipe is Workato's main asset which houses the step-by-step integration process. In it you can build the flows and connect multiple applications.Read more
Are on-premise applications and databases supported?
2 Comments
Official Response from Workato
Yes, we support on-premise applications, databases and even your own custom application that can be connected with REST, SOAP. To connect to on-premise...Read more
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